Literature DB >> 32927552

Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim.

Mei Song1, Jin Wu2, Mengran Song2, Liyan Zhang2, Yaxu Zhu2.   

Abstract

The Bohai Economic Rim (BER) is a momentous economic growth district with rapid development in northern China, but the environmental problems there have also become prominent. In 2017 the BER's carbon emission intensity outclassed the national average, the emission reduction situation was also grim. For clarifying the influence mechanism of the economy on carbon emission intensity, this paper explores the spatiotemporal regularity, the spatial correlation, and the spillover effect in carbon emission intensity employing the Moran index and the spatial Durbin model. The results indicate that the carbon emission intensity in the BER decreased year-by-year from 2006 to 2017. Shanxi and Inner Mongolia were emission hot spots, whereas Beijing and Tianjin were emission cold spots. And the Moran's I values all passed the significance test, which verified the spatial correlation of the carbon emission intensity in the BER is significant. Urbanization, energy intensity, population density, and industry structure have a biggish impact on such spatial distribution of the carbon emission intensity. The direct effect coefficient of the energy intensity is the highest, and the spillover effect of the industry structure is the most significant. Finally, this paper puts forward suggestions on the formulation of regional coordinated carbon reduction programs in the BER.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Energy intensity; Population density; Spatial Durbin model; Spatial dependence test; Urbanization

Year:  2020        PMID: 32927552     DOI: 10.1016/j.scitotenv.2020.140184

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Impact and mechanism of digital economy on China's carbon emissions: from the perspective of spatial heterogeneity.

Authors:  Haijing Yu; Qin Zhu
Journal:  Environ Sci Pollut Res Int       Date:  2022-09-03       Impact factor: 5.190

2.  Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China's County-Level Cities.

Authors:  Jincai Zhao; Qianqian Liu
Journal:  Int J Environ Res Public Health       Date:  2021-04-08       Impact factor: 3.390

3.  The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China's 92 Tourism-Dependent Cities.

Authors:  Yun Tong; Rui Zhang; Biao He
Journal:  Int J Environ Res Public Health       Date:  2022-02-05       Impact factor: 3.390

4.  The Forms, Channels and Conditions of Regional Agricultural Carbon Emission Reduction Interaction: A Provincial Perspective in China.

Authors:  Yanqiu He; Hongchun Wang; Rou Chen; Shiqi Hou; Dingde Xu
Journal:  Int J Environ Res Public Health       Date:  2022-09-01       Impact factor: 4.614

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.